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Beyond the highest life expectancy: construction of proxy upper and lower life expectancy bounds

Author

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  • Jia Liu

    (Macquarie University)

  • Jackie Li

    (Macquarie University)

Abstract

The strong, persistent linear trend of the highest period life expectancy of females at birth, namely best-performance life expectancy, is an interesting global phenomenon which has already lasted for about 150 years. In this article, we study both the highest and lowest period life expectancies of a group of more developed countries and areas, and exploit their recent trends to construct approximate upper and lower bounds as a supplementary tool for future projections. We also seek two modifications of this proposed approach. First, despite that it has remained largely an empirical observation, we intend to examine the use of extreme value theory to provide a more theoretical framework for both the highest and lowest life expectancies. Second, we construct two hypothetical populations with each age experiencing the lowest or highest mortality rate amongst all the populations considered, and extrapolate their life expectancy trends into the future. The resulting life expectancy bounds perform reasonably well in our backtesting exercise and can potentially complement the usual application of a stochastic mortality model to the data of a single country.

Suggested Citation

  • Jia Liu & Jackie Li, 2019. "Beyond the highest life expectancy: construction of proxy upper and lower life expectancy bounds," Journal of Population Research, Springer, vol. 36(2), pages 159-181, June.
    • Handle: RePEc:spr:joprea:v:36:y:2019:i:2:d:10.1007_s12546-019-09221-0
    DOI: 10.1007/s12546-019-09221-0
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    References listed on IDEAS

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    1. Vladimir M. Shkolnikov & Dmitri A. Jdanov & Evgeny M. Andreev & James W. Vaupel, 2011. "Steep Increase in Best‐Practice Cohort Life Expectancy," Population and Development Review, The Population Council, Inc., vol. 37(3), pages 419-434, September.
    2. Jacques Vallin & France Meslé, 2009. "The Segmented Trend Line of Highest Life Expectancies," Population and Development Review, The Population Council, Inc., vol. 35(1), pages 159-187, March.
    3. Xiao Dong & Brandon Milholland & Jan Vijg, 2016. "Evidence for a limit to human lifespan," Nature, Nature, vol. 538(7624), pages 257-259, October.
    4. repec:cai:poeine:pope_804_0557 is not listed on IDEAS
    5. Jackie Li, 2013. "A Poisson common factor model for projecting mortality and life expectancy jointly for females and males," Population Studies, Taylor & Francis Journals, vol. 67(1), pages 111-126, March.
    6. Vladimir Canudas-Romo & Heather Booth & Marie-Pier Bergeron-Boucher, 2019. "Minimum Death Rates and Maximum Life Expectancy: The Role of Concordant Ages," North American Actuarial Journal, Taylor & Francis Journals, vol. 23(3), pages 322-334, July.
    7. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    8. Dmitri A. Jdanov & Domantas Jasilionis & Eugeny L. Soroko & Roland Rau & James W. Vaupel, 2008. "Beyond the Kannisto-Thatcher Database on Old Age Mortality: an assessment of data quality at advanced ages," MPIDR Working Papers WP-2008-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    9. A. R. Thatcher, 1999. "The long‐term pattern of adult mortality and the highest attained age," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 5-43.
    10. Chris Wilson, 2011. "Understanding Global Demographic Convergence since 1950," Population and Development Review, The Population Council, Inc., vol. 37(2), pages 375-388, June.
    11. Ronald Lee, 2000. "The Lee-Carter Method for Forecasting Mortality, with Various Extensions and Applications," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(1), pages 80-91.
    12. Li, Jackie, 2014. "A quantitative comparison of simulation strategies for mortality projection," Annals of Actuarial Science, Cambridge University Press, vol. 8(2), pages 281-297, September.
    13. Nan Li & Ronald Lee, 2005. "Coherent mortality forecasts for a group of populations: An extension of the lee-carter method," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 575-594, August.
    14. Anthony Medford, 2017. "Best-practice life expectancy: An extreme value approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(34), pages 989-1014.
    15. Anne Case & Angua Deaton, 2015. "Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century," Working Papers 15078.full.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
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    Cited by:

    1. Jackie Li & Jia Liu, 2020. "A modified extreme value perspective on best-performance life expectancy," Journal of Population Research, Springer, vol. 37(4), pages 345-375, December.
    2. Anthony Medford, 2021. "Modeling Best Practice Life Expectancy Using Gumbel Autoregressive Models," Risks, MDPI, vol. 9(3), pages 1-10, March.
    3. Andrea Nigri & Elisabetta Barbi & Susanna Levantesi, 2022. "The relay for human longevity: country-specific contributions to the increase of the best-practice life expectancy," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4061-4073, December.
    4. Jacie Jia Liu, 2021. "A Study on Link Functions for Modelling and Forecasting Old-Age Survival Probabilities of Australia and New Zealand," Risks, MDPI, vol. 9(1), pages 1-18, January.

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